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Filters
Multi-Level Cooperative Fusion of GM-PHD Filters for Online Multiple Human Tracking
2019
IEEE transactions on multimedia
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This center also mitigates the sensitivity of missed detections in the Generalized Covariance Intersection (GCI) fusion process, thereby improving the fusion performance and tracking consistency. ...
Finally, we develop a robust fusion center with virtual and real zones to make a global decision based on preliminary candidate targets generated by each detector. ...
ACKNOWLEDGMENT The authors would like to thank Professor Ling Shao, Associate Editor and the anonymous reviewers for their valuable input to improving the paper. ...
doi:10.1109/tmm.2019.2902480
fatcat:ildjc6cykrhpthrhhroqqrnlny
A self-organizing hybrid sensor system with distributed data fusion for intruder tracking and surveillance
2008
2008 IEEE Antennas and Propagation Society International Symposium
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False alarm rate, probability of detection and latency are computed and compared with other published techniques. ...
Failing nodes result in coverage loss and breakage in communication connectivity and hence there is a pressing need for a fault tolerant system to allow replacing of the failed nodes. ...
The simulation scheme associated a cost function to the number of sensor deployed for a given area of sensor field and an algorithm was used to minimize the cost function. ...
doi:10.1109/aps.2008.4619564
fatcat:2j77g6nyubefdmdaohgefrskhi
A monocular system for person tracking: Implementation and testing
2007
Journal on Multimodal User Interfaces
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The system consists of two main modules, namely the detection and tracking modules. Automatic detection aims at locating human faces and is based on fusion of color and feature-based information. ...
It has been tested with very good results on a variety of video sequences, including a database of studio video sequences, for which 3-D ground truth data, originating from a 4-camera infrared tracking ...
A fusion scheme that combines the two algorithms and employs additional decision criteria to improve the detection rate and reduce false detections is derived. ...
doi:10.1007/bf02910057
fatcat:upxxndk3zrgljhzmwg2nipa76y
Multitarget Tracking Using Virtual Measurement of Binary Sensor Networks
2006
2006 9th International Conference on Information Fusion
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In this paper, we present a new method, the Virtual Measurement (VM) approach, for multi-target tracking using distributed binary sensor networks. ...
Networks of small low-cost sensors for target tracking are becoming increasingly important for many applications. ...
In this paper, we present a new method: the virtual measurement (VM) approach, for multi-target tracking using distributed binary sensor networks. ...
doi:10.1109/icif.2006.301815
dblp:conf/fusion/WangM06a
fatcat:k2hjumg7ebhg7mnqqcw3jwwvci
Towards Cooperative Perception Services for ITS: Digital Twin in the Automotive Edge Cloud
2021
Energies
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instantly and reliably matches the state of the real-world environment and showcases the advantages of real-time fusion of sensory data from various traffic participants. ...
The importance of such technology is that it can facilitate a spectrum of new derivative services, including cloud-assisted and cloud-controlled ADAS functions, dynamic map generation with analytics for ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/en14185930
fatcat:66c7pqtbvnbgthbyp3ca7542ye
OsaMOT: Occlusion and scale‐aware multi‐object tracking algorithm for low viewpoint
2021
IET Image Processing
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First, according to the global occlusion state of each frame, OsaMOT proposes the adaptive anti-occlusion feature to enhance the awareness and adaptability for occlusion. ...
Most evaluation indexes of OsaMOT under low-viewpoint tracking scenario are superior to those of some typical algorithms proposed in recent years, and the tracking robustness is improved. ...
To improve the accuracy of association, the minimal greedy scanning method is used in OsaMOT for data association based on anti-occlusion feature matrix judge. ...
doi:10.1049/ipr2.12378
fatcat:ws2vil44q5eg3cxh4foqtwytea
Program
2019
2019 International Conference on Control, Automation and Information Sciences (ICCAIS)
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For this reason, in this paper, we focus on the task of minimizing the false alarm rate while performing an abnormal activity detection task. ...
Incorporation of Doppler measurements, which contain valuable information of both target position and velocity states, is beneficial to tracking filter but also data association as well as false track ...
A real-time video surveillance and state detection approach for elevator cabs Zhen Sun, Benlian Xu and Di Wu (Changshu Institute of Technology, China); Mingli Lu (Changshu Institute of Technology Changshu ...
doi:10.1109/iccais46528.2019.9074650
fatcat:f3libdixzvez3kaeyb5dubekrq
Front Matter: Volume 6968
2008
Signal Processing, Sensor Fusion, and Target Recognition XVII
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Publication of record for individual papers is online in the SPIE Digital Library. ...
The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. ...
Performance Versus Processor Resources For Single Target Tracking After 7 Frames of Data With False Signals Type I Error: False Detection Or False (Extra) Track Given No Target In Region Of Interest. ...
doi:10.1117/12.802000
fatcat:zlmg3s3uqfcclmvostwlok6vx4
Introduction to the special issue on homeland and global security
2009
Pervasive and Mobile Computing
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systems for surveillance and threat detection, secure and fault tolerant coordination and communication of sensors in homeland and global security environments, information fusion for prediction and detection ...
The development, deployment and coordination of pervasive and mobile computing has been studied for a number of years, and much of this research is beginning to transition into real solutions for a variety ...
Their data routing scheme maximizes signal strength and minimizes path loss while maintaining high energy efficiency and effective fault tolerance. ...
doi:10.1016/j.pmcj.2008.12.001
fatcat:rnppseaq4beo3g6dqpwztyfk54
A novel intelligent vehicle risk assessment method combined with multi-sensor fusion in dense traffic environment
2018
Journal of Intelligent and Connected Vehicles
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The information of object type, position and velocity was used to reduce erroneous data association between tracks and detections. ...
Firstly, they proposed a novel detection-level fusion approach for multi-object perception in dense traffic environment based on evidence theory. ...
Dempster-Shafer theory-based detection-level fusion As mentioned above, DST makes contributions to both overall track management and its data association part of detection-level fusion for multi-object ...
doi:10.1108/jicv-02-2018-0004
fatcat:jaqu7oue6jffddsfn4skqjedpe
Multiple Hypothesis Tracking for Cluttered Biological Image Sequences
2013
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In this paper, we present a method for simultaneously tracking thousands of targets in biological image sequences, which is of major importance in modern biology. ...
The complexity and inherent randomness of the problem lead us to propose a unified probabilistic framework for tracking biological particles in microscope images. ...
Karin Luby-Phelps for providing the Golgi image sequences and to Dr. Khuloud Jaqaman for having accepted to process the benchmark data with the methods presented in [20] . ...
doi:10.1109/tpami.2013.97
pmid:24051732
fatcat:n7bbocw455dq3jcp3dckavpfn4
Multi-target Tracking Based on High-order Appearance Feature Fusion
2019
IEEE Access
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In the tracking-by-detection framework, data association is one of the most important and difficult problems. ...
This proposed method is called Multi-target tracking Based on High-order Appearance Feature Fusion (MTT-HAFF), which can handle a large number of input sequences, local association failures, and identity ...
[30] proposed a quadruple convolution neural network that learns to associate the detections from different frames and uses the minimum or maximum label propagation method for data association. ...
doi:10.1109/access.2019.2955809
fatcat:hd4cnxxntzcxzj3qpo7y57lne4
Tracking a large number of objects from multiple views
2009
2009 IEEE 12th International Conference on Computer Vision
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We embedded our method into a tracker-to-tracker multi-view fusion system that not only obtains the three-dimensional trajectories of closely-moving objects but also accurately settles track uncertainties ...
We propose a multi-object multi-camera framework for tracking large numbers of tightly-spaced objects that rapidly move in three dimensions. ...
Multi-Object Tracking with Fusion of Information from Multiple Views Thus far we described a method to solve multi-view data association in a single time step. ...
doi:10.1109/iccv.2009.5459274
dblp:conf/iccv/WuHHKB09
fatcat:ny3snrbozrbmhmncfmueizdxii
Fault diagnosis in railway track circuits using Dempster–Shafer classifier fusion
2010
Engineering applications of artificial intelligence
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This paper addresses the problem of fault detection and isolation in railway track circuits. ...
A track circuit can be considered as a large-scale system composed of a series of trimming capacitors located between a transmitter and a receiver. ...
Acknowledgements This work was supported by the Infrastructure Department and the Engineering Department of the French National Railway Company (SNCF). ...
doi:10.1016/j.engappai.2009.06.005
fatcat:43ek7nwqqrb7rp2y5jd7qhlh3a
Single molecule tracking and analysis framework including theory-predicted parameter settings
[article]
2020
bioRxiv
pre-print
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Accordingly, we developed an algorithm, which accounts for both tracking losses and suggests optimized tracking parameters when evaluating reaction rates. ...
A user-friendly GUI offers convenient tracking visualization, multiple state-of-the-art analysis procedures, display of results, and data im- and export at different levels to utilize external software ...
Acknowledgements We thank members of the ...
doi:10.1101/2020.11.25.398271
fatcat:quc3fpirmfgrljlzawiv6zkbia
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